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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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, the interplay between genetic variation and human phenotypes, and the development of AI-driven approaches to better understand human biology and disease and to translate these insights into data-driven strategies
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bias, including previously detected structural variation on sex chromosomes, and analyze the evolutionary history of these regions within and across species. Overall, this project will provide novel
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identify sources of variation in experimental data Ability to document and reproduce experimental workflows in a rigorous manner Good communication skills in English, both written and spoken Meriting